"Mock Service Worker" matching MCP servers:

Enables ChatGPT to securely control a single authorized Windows worker through an MCP endpoint, handling job scheduling, approval, and execution with outbound-only connectivity.

Enables MCP-compatible AI clients to securely monitor and manage a self-hosted Linux VPS over SSH, including service status, disk and RAM usage, TLS certificate expiry, fail2ban summaries, and two-step confirmed service restarts or IP unbans.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

An MCP server that reports on and manages systemd services using systemctl and journalctl, enabling service listing, status, logs, and control operations.

Enables MCP clients to run Google Antigravity CLI (agy) as durable, detached asynchronous jobs with a permission gate and broker-computed verdicts that do not trust agy's own exit code.

Enables secure remote Linux/Unix server management over SSH/SFTP, including command execution, system inspection, file editing, and service control.

Enables AI agents to safely monitor Linux VPS health, inspect Docker containers, retrieve service logs, and execute whitelisted recovery actions via MCP.

Enables system automation and control including command execution, process management, network tools, environment variables, disk usage, and service status.

Enables remote server management through SSH/SFTP with persistent task queuing, system monitoring, file transfers, service status checks, and API health monitoring through a unified interface.

A server monitoring and inspection tool collection that provides remote utilities for checking network interfaces, service statuses, and firewall configurations on servers.

Provides an experimental semantic interface for discovering and reading mock systemd unit resources for service and timer units, with tools for listing supported unit types and units.

Gives AI agents uniform perception and control over Android, iOS, and mock mobile devices through MCP, including taps, typing, app navigation, deep links, SMS/OTP retrieval, and human-in-the-loop approvals.

MCP server for SDL2 lab machines providing host operations: service status, log tailing, whitelisted service restarts, serial port listing, and local status probing. It is strictly whitelisted with no arbitrary command execution.

Coordinates VAWS task identity, ready-runtime pools, exclusive bindings, and managed jobs on Ascend hosts through an opt-in, shared Streamable HTTP MCP service.

Bridges AI assistants to Linux D-Bus for system interaction, enabling clipboard, notifications, screenshots, and service discovery with configurable security levels.

Lets an agent install, control, and repair dsh web as a Windows service so it auto-starts at boot, runs without a console window, and survives sign-out — covering service status, install/uninstall, start/stop/restart, and a side-effect-free install preview. It also tails service logs and translates them into plain-language diagnoses with fixes for failures like port conflicts, incompatible profile plugins, and plugin trees that fail to load.

Enables recording the macOS Dock over time, querying Dock status and history, capturing snapshots, and rendering Apple-style timelapse videos, previews, and still frames.

Enables LLMs to remotely control VirtualBox VMs and Playwright browsers on Windows, including VM lifecycle actions, in-guest commands, browser automation, window management, and service monitoring via REST API and MCP.

Installs an agent on Linux hosts to allow shell commands, file edits, and service management through Claude.ai or ChatGPT via a secure outbound WebSocket connection.

Enables controlling remote desktops over RDP and VNC while running persistent Python sessions, so variables survive across calls and screenshots, actions, and loops can be combined. Supports multiple named connections, each with an independent worker and input state.